Reveal Human-Growth Patterns in Transcriptomic Data

Dr. Stevens is doing both bench studies and in silico studies on a range of omics datasets derived primarily from blood samples throughout human childhood. The datasets include transcriptomic data – which measures RNA and microarray RNA sequencing, looks at the integration of genetic data and other omics data (such as proteomics and phosphor proteomic data). These datasets are used to study both normal childhood growth and growth with various impairments. For example, at short stature, where there is a growth hormone deficiency, and chromosomal syndromes, for example Turner syndrome, where girls are often treated with growth hormones. Dr. Stevens has experienced that a fundamental problem is that if you’re running a project and realize you need statistics expertise you find statisticians but they don’t always understand the biology.